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30m land-cover products (single-date) over China in 2013

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地球大数据科学工程2018-12-19 更新2024-10-12 收录
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Since the traditional large-area land-cover classification takes a lot of manpower for collecting training samples, we proposed a novel and automatic land-cover classification method to solve this difficulty. Specifically, we combined the time-series MOD09A1 reflectance and GlobCover2009 land-cover products to develop a priori spectral library (SPECLib). Then, the single-date land-cover results in 2013 were produced by using the SPECLib, Landsat reflectance, fusion classification method (MLC and SAM) and knowledged-based rules.
创建时间:
2022-03-30
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